@Reference(type=Inproceedings, author={"Jonathon Hare","Sina Samangooei","Paul Lewis"}, title="Efficient clustering and quantisation of SIFT features: Exploiting characteristics of the SIFT descriptor and interest region detectors under image inversion", year="2011", booktitle="The ACM International Conference on Multimedia Retrieval (ICMR 2011)", month="April", publisher="ACM Press") public class MinMaxDoGSIFTEngine extends Object implements Engine<MinMaxKeypoint,FImage>
Internally, this class is identical to DoGSIFTEngine
, but uses a
OctaveMinMaxKeypointCollector
instead of an
OctaveKeypointCollector
.
Constructor and Description |
---|
MinMaxDoGSIFTEngine()
Construct a
MinMaxDoGSIFTEngine with the default options. |
MinMaxDoGSIFTEngine(DoGSIFTEngineOptions<FImage> options)
Construct a
MinMaxDoGSIFTEngine with the given options. |
Modifier and Type | Method and Description |
---|---|
LocalFeatureList<MinMaxKeypoint> |
findFeatures(FImage image)
Find local features in the given image and return them.
|
DoGSIFTEngineOptions<FImage> |
getOptions()
Get the options for this engine.
|
public MinMaxDoGSIFTEngine()
MinMaxDoGSIFTEngine
with the default options.public MinMaxDoGSIFTEngine(DoGSIFTEngineOptions<FImage> options)
MinMaxDoGSIFTEngine
with the given options.options
- the optionspublic LocalFeatureList<MinMaxKeypoint> findFeatures(FImage image)
Engine
findFeatures
in interface Engine<MinMaxKeypoint,FImage>
image
- the imagepublic DoGSIFTEngineOptions<FImage> getOptions()